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PhysFlow achieves unprecedented robustness in rPPG estimation by decoupling signal components, outperforming existing methods even in the most challenging conditions.
By cleverly fusing spectral and spatial information, ASGNet achieves state-of-the-art polyp segmentation, suggesting that moving beyond purely spatial processing can unlock significant gains in medical image analysis.
Ditch the grid: Free-Range Gaussians synthesizes plausible 3D content from sparse views by predicting non-grid-aligned Gaussians, filling in the blanks where other methods fall apart.
